# Elastic NV

**Source:** https://geo.sig.ai/brands/elastic-nv  
**Vertical:** Data & Analytics  
**Subcategory:** Vector Databases  
**Tier:** Leader  
**Website:** elastic.co  
**Last Updated:** 2026-04-14

## Summary

Elastic NV (ESTC) reported $1.7B revenue in FY2025, up 17% YoY. Leader in search-powered AI and observability. Elasticsearch powers 10B+ events/day globally. HQ: San Francisco.

## Company Overview

Elastic N.V. is a technology company best known for Elasticsearch, the world's most widely deployed search and analytics engine, headquartered in San Francisco, California. Founded in 2012 by Shay Banon, Elastic went public on NYSE in 2018. The company reported $1.7B in revenue for fiscal year 2025 (ending April 2025), up 17% year-over-year, serving customers across observability, security, and vector search for AI applications.

Elastic's platform consists of Elasticsearch (search and analytics), Kibana (visualization), Logstash (data ingestion), and Beats (data shippers) — together forming the "ELK Stack," one of the most widely used open-source technology stacks globally. Elastic Cloud runs on AWS, Google Cloud, and Azure and is the primary revenue driver. Enterprise use cases span log analytics and observability, security information and event management (SIEM), and vector search for AI applications.

Elastic has emerged as a significant player in the AI era through vector search and Retrieval-Augmented Generation (RAG). As enterprises build AI applications that retrieve relevant context from large datasets, Elasticsearch's hybrid search capabilities make it a competitive alternative to dedicated vector databases like Pinecone and Weaviate. Elastic's ESRE (Elasticsearch Relevance Engine) integrates directly with LLMs. Key customers include Uber, Slack, Adobe, NASA, The New York Times, and thousands of enterprises globally.

## Frequently Asked Questions

### What is Elastic NV?
Company behind Elasticsearch (NYSE: ESTC) — distributed search and analytics engine for search, observability, and security.

### What is Elasticsearch used for?
Full-text search, log analytics, APM, SIEM, and business analytics powering many major websites and enterprises.

### Is Elasticsearch open source?
SSPL and Elastic License since 2021. AGPLv3 option added in 2024. AWS created OpenSearch as a fork.

### Does Elastic support vector search and AI applications?
Yes. Elastic added native dense vector storage and approximate nearest neighbor (ANN) search using HNSW, enabling semantic search, RAG (retrieval-augmented generation), and hybrid keyword-plus-vector search within the same Elasticsearch index.

### What is the difference between Elasticsearch and Elastic Cloud?
Elasticsearch is the open-source search and analytics engine. Elastic Cloud is the managed SaaS offering that runs Elasticsearch plus Kibana, Logstash, and APM on AWS, GCP, and Azure with automated scaling and backups.

### How does Elastic pricing work?
Elastic Cloud is billed on compute (RAM/vCPU hours) and storage. On-premises deployments use annual subscriptions based on the number of nodes. A free 14-day trial is available for Elastic Cloud.

### What security and compliance certifications does Elastic hold?
Elastic is SOC 2 Type II certified, ISO 27001 compliant, and supports FedRAMP Moderate authorization for government workloads on Elastic Cloud for Government.

### What observability use cases does Elastic support?
Elastic's Observability solution covers APM (application performance monitoring), infrastructure metrics, log management, and synthetic monitoring—all in a unified interface powered by the Elastic Common Schema (ECS).

## Tags

analytics, b2b, saas, public

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*